Guest Intelligence Applications Acceptance Model: An approach with the UTAUT Model and PLS-SEM

In a world where innovations are made daily, how people interact with and use technology is becoming increasingly important. It is relevant to investigate how new technologies are used and accepted in this environment. Acceptance assessment has been done in research on creating information systems, considering the UTAUT model and the data analysis technique PLS-SEM. Although this digital environment is pertinent to society in general, it is even more appropriate when interacting with tourists because it may give personalised goods and services. In order to assess acceptance in terms of guest insights proportioned by technologies to recommend personalised services and products by evaluating an application that recommends products and services personalised, considering guests' intelligence, this article analyses the use and acceptance of a technological application whose characteristics meet the aforementioned.

Authors

Institutions

Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1145/3696593.3696634
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Guest Intelligence Applications Acceptance Model: An approach with the UTAUT Model and PLS-SEM

Célia M. Q. Ramos, Rashed Isam Ashqar
Technology Adoption and User Behaviour
article

Guest Intelligence Applications Acceptance Model: An approach with the UTAUT Model and PLS-SEM

Célia M. Q. Ramos, Rashed Isam Ashqar
article en

Abstract

In a world where innovations are made daily, how people interact with and use technology is becoming increasingly important. It is relevant to investigate how new technologies are used and accepted in this environment. Acceptance assessment has been done in research on creating information systems, considering the UTAUT model and the data analysis technique PLS-SEM. Although this digital environment is pertinent to society in general, it is even more appropriate when interacting with tourists because it may give personalised goods and services. In order to assess acceptance in terms of guest insights proportioned by technologies to recommend personalised services and products by evaluating an application that recommends products and services personalised, considering guests' intelligence, this article analyses the use and acceptance of a technological application whose characteristics meet the aforementioned.

National University of Science and Technology (ZW), University of Algarve (PT)
Openalex Percentile: Top 66%
Technology Adoption and User Behaviour
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.